Evidence map›Paper›PMID 32989283›Full record

ArticleNature biomedical engineering2021

A microfluidic cell-migration assay for the prediction of progression-free survival and recurrence time of patients with glioblastoma.

Bin Sheng Wong, Sagar R Shah, Christopher L Yankaskas, Vivek K Bajpai, Pei-Hsun Wu, Deborah Chin, Brent Ifemembi, Karim ReFaey, Paula Schiapparelli, Xiaobin Zheng and 4 more

Open access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 73 citations in OpenAlex.

  1. Leveraging Microphysiological Systems to Facilitate Neutrophil-Based Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  10. The Rise of Mechanobiology for Advanced Cell Engineering and Manufacturing.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  11. Article
  12. Ras-mediated dynamic and biphasic regulation of cell migration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
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  19. Confinement-sensitive volume regulation dynamics via high-speed nuclear morphological measurements.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 1 country.

Bin Sheng Wong *Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-4074-3223
Sagar R Shah *Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christopher L Yankaskas *Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Vivek K BajpaiDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4659-3211
Pei-Hsun WuDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-7371-2960
Deborah ChinDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Brent IfemembiDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Karim ReFaeyDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.ORCID http://orcid.org/0000-0001-7227-1529
Paula SchiapparelliDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
Xiaobin ZhengDepartment of Embryology, Carnegie Institution for Science, Baltimore, MD, USA.
Stuart S MartinMarlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA.
Chen-Ming FanDepartment of Embryology, Carnegie Institution for Science, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3211-6617
Alfredo Quiñones-HinojosaDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA. Quinones-Hinojosa.Alfredo@mayo.edu.ORCID http://orcid.org/0000-0003-4262-5968
Konstantinos KonstantopoulosDepartment of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. konstant@jhu.edu.ORCID http://orcid.org/0000-0003-2623-1459
Johns Hopkins University · USCarnegie Institution for Science · USWinnMed · USJacksonville College · USStanford University · USUniversity of Maryland, Baltimore · US

Funding

Tubulin microtentacles in detached mammary epithelial cellsR01CA124704 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARTIN, STUART S · 2007 to 2025
$5.7M
Development of high throughput screening technologies in breast cancerR01CA183804 · NCI · JOHNS HOPKINS UNIVERSITY · PI KONSTANTOPOULOS, KONSTANTINOS, KONTROGIANNI-KONSTANTOPOULOS, AIKATERINI · 2015 to 2019
$3.5M
A novel microfluidic device to predict brain cancer prognosis and response to therapyR01CA216855 · NCI · MAYO CLINIC JACKSONVILLE · PI KONSTANTOPOULOS, KONSTANTINOS, QUINONES-HINOJOSA, ALFREDO · 2018 to 2022
$2.4M
NCI NIH HHS R01 CA124704NCI NIH HHS R01 CA183804NCI NIH HHS R01 CA216855
6 · The paper itself

Abstract

Clinical scores, molecular markers and cellular phenotypes have been used to predict the clinical outcomes of patients with glioblastoma. However, their clinical use has been hampered by confounders such as patient co-morbidities, by the tumoral heterogeneity of molecular and cellular markers, and by the complexity and cost of high-throughput single-cell analysis. Here, we show that a microfluidic assay for the quantification of cell migration and proliferation can categorize patients with glioblastoma according to progression-free survival. We quantified with a composite score the ability of primary glioblastoma cells to proliferate (via the protein biomarker Ki-67) and to squeeze through microfluidic channels, mimicking aspects of the tight perivascular conduits and white-matter tracts in brain parenchyma. The assay retrospectively categorized 28 patients according to progression-free survival (short-term or long-term) with an accuracy of 86%, predicted time to recurrence and correctly categorized five additional patients on the basis of survival prospectively. RNA sequencing of the highly motile cells revealed differentially expressed genes that correlated with poor prognosis. Our findings suggest that cell-migration and proliferation levels can predict patient-specific clinical outcomes.

Indexed as

Brain NeoplasmsCell MovementGlioblastomaMicrofluidic Analytical TechniquesProgression-Free SurvivalAdolescentAdultAgedAged, 80 and overCell ProliferationGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisRetrospective StudiesRNARNA

Identifiers

PMID32989283
PMCPMC7855796
OpenAlexW3090909649

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.